Ambessavs Hwei
Ambessa vs Hwei is a decisive matchup in LoL patch 26.10. Hwei wins with a 55.6% win rate (+11.1%) over Ambessa based on 9 games. Ambessa wins the early laning phase while Hwei scales better into the late game. Below you'll find the best Ambessa build, runes, laning stats, and strategies for the Ambessa vs Hwei matchup.
Ambessa Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ambessa performs against them. You'll get head-to-head win rates, laning stats, the best build and runes for the matchup, and early vs late game analysis — all based on real ranked data.
Who Wins the Ambessa vs Hwei Matchup?
Ambessa vs Hwei Matchup Summary
The Ambessa vs Hwei matchup is a decisive matchup in League of Legends ranked play. Based on 9 recent matches analyzed, Hwei wins with a 55.6% win rate compared to Ambessa's 44.4%, giving Hwei a 11.1 percentage point advantage. Game phase dynamics play a critical role here: Ambessa controls the early laning stage, but Hwei outscales as the game goes longer. The matchup shifts dramatically depending on game length — Ambessa needs to press advantages before Hwei reaches their power spikes, while Hwei should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in sustain, where Ambessa leads by 938 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Hwei has a strong advantage in this matchup. Ambessa players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Hwei overextending. Avoid prolonged trades and wait for team fights where positioning and coordination matter more. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Ambessa vs Hwei Laning Phase Breakdown
Ambessa is favored during the laning phase against Hwei, winning 3 out of 5 key stat categories. Ambessa holds advantages in damage, gold income and sustain, making them the stronger laner in this matchup.
Best Ambessa Build Against Hwei
Chainlaced Crushers is the optimal boots choice against Hwei, providing the mobility and stats Ambessa needs most in this matchup. The top-performing core items for Ambessa against Hwei are Voltaic Cyclosword, Profane Hydra and Axiom Arc. This combination gives Ambessa an effective balance of damage, survivability, and utility for the matchup. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Ambessa vs Hwei matchup.
Early Game vs Late Game
Ambessa50.0%
Hwei50.0%Ambessa40.0%Hwei60.0%The early game (first 15 minutes) is a toss-up between Ambessa and Hwei, with Ambessa holding a razor-thin 50.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Hwei is far superior in the late game (25+ minutes), boasting a 60.0% win rate — 20.0 points above Ambessa. Extended games heavily favor Hwei, whose kit and scaling make them a dominant force in team fights and objective control.
The power dynamics shift as the game progresses — Ambessa has the edge early, but Hwei gradually takes over. However, the margins are slim enough that either champion can win at any stage with the right plays. Focus on taking advantages when you have them rather than waiting for a specific game phase.
Best Ambessa Runes Against Hwei
Domination
Resolve
The Domination and Resolve rune setup gives Ambessa the best tools to compete against Hwei in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Ambessa matchup data for League of Legends patch 26.10. The table below shows Ambessa's win rate, gold difference, and performance stats against every champion in the current meta. Click any champion name to see a detailed head-to-head breakdown including the best Ambessa build, runes, laning stats, and early vs late game analysis for that specific matchup.
Opponent | Win Rate | Matches | CS/min | DMG/min | Gold/game | Early WR | Late WR |
|---|---|---|---|---|---|---|---|
| 50.00% | 108 | 6.5 | 887 | 12,104 | 38.2% | 55.4% | |
| 44.44% | 99 | 5.5 | 647 | 11,365 | 55.6% | 35.2% | |
| 46.07% | 89 | 1.6 | 777 | 13,081 | 38.9% | 50.9% | |
| 55.68% | 88 | 5.3 | 790 | 11,377 | 55.6% | 55.8% | |
| 50.00% | 78 | 1.4 | 756 | 12,440 | 50.0% | 50.0% | |
| 52.63% | 76 | 1.9 | 871 | 13,723 | 48.0% | 54.9% | |
| 55.26% | 76 | 1.3 | 760 | 12,934 | 38.2% | 69.0% | |
| 58.67% | 75 | 5.5 | 826 | 11,281 | 62.5% | 54.3% | |
| 49.32% | 73 | 1.2 | 746 | 12,966 | 50.0% | 48.8% | |
| 43.06% | 72 | 1.9 | 773 | 13,005 | 41.4% | 44.2% | |
| 43.66% | 71 | 1.3 | 736 | 13,347 | 27.3% | 57.9% | |
| 41.79% | 67 | 4.1 | 857 | 12,529 | 34.6% | 46.3% | |
| 53.03% | 66 | 6.1 | 752 | 11,499 | 67.9% | 42.1% | |
| 53.85% | 65 | 4.7 | 820 | 12,952 | 53.9% | 53.9% | |
| 51.56% | 64 | 1.3 | 769 | 12,014 | 50.0% | 52.9% | |
| 64.06% | 64 | 6.3 | 927 | 11,297 | 67.7% | 60.6% | |
| 51.67% | 60 | 6.4 | 834 | 10,568 | 41.4% | 61.3% | |
| 43.86% | 57 | 2.8 | 896 | 11,986 | 43.3% | 44.4% | |
| 49.09% | 55 | 5.1 | 1,060 | 12,071 | 38.1% | 55.9% | |
| 44.44% | 54 | 6.5 | 1,006 | 10,977 | 42.3% | 46.4% | |
| 41.51% | 53 | 5.7 | 852 | 11,936 | 21.1% | 52.9% | |
| 38.46% | 52 | 5.7 | 1,272 | 11,653 | 45.5% | 33.3% | |
| 51.92% | 52 | 1.5 | 792 | 13,956 | 37.5% | 58.3% | |
| 40.82% | 49 | 6.0 | 832 | 11,171 | 33.3% | 46.4% | |
| 45.83% | 48 | 5.8 | 892 | 12,843 | 50.0% | 43.8% | |
| 51.06% | 47 | 6.4 | 856 | 11,702 | 66.7% | 41.4% | |
| 52.17% | 46 | 6.6 | 724 | 10,908 | 57.1% | 48.0% | |
| 55.56% | 45 | 5.6 | 925 | 12,015 | 59.1% | 52.2% | |
| 51.16% | 43 | 1.3 | 773 | 13,080 | 50.0% | 51.9% | |
| 36.59% | 41 | 6.1 | 765 | 11,563 | 21.4% | 44.4% | |
| 51.28% | 40 | 2.8 | 840 | 12,785 | 58.8% | 45.5% | |
| 43.59% | 39 | 2.1 | 676 | 11,312 | 42.9% | 44.4% | |
| 59.46% | 37 | 1.9 | 852 | 13,007 | 61.1% | 57.9% | |
| 48.65% | 37 | 6.4 | 981 | 11,875 | 54.5% | 46.1% | |
| 54.05% | 37 | 6.3 | 704 | 11,269 | 43.8% | 61.9% | |
| 43.24% | 37 | 6.3 | 1,144 | 11,325 | 33.3% | 52.6% | |
| 41.67% | 36 | 1.7 | 773 | 12,954 | 25.0% | 50.0% | |
| 44.44% | 36 | 3.7 | 743 | 10,434 | 42.1% | 47.1% | |
| 50.00% | 36 | 6.5 | 852 | 11,865 | 36.4% | 56.0% | |
| 54.29% | 35 | 5.8 | 966 | 12,098 | 66.7% | 41.2% | |
| 57.14% | 35 | 1.4 | 767 | 13,465 | 60.0% | 55.0% | |
| 40.00% | 35 | 6.5 | 899 | 12,019 | 28.6% | 47.6% | |
| 52.94% | 34 | 2.1 | 753 | 12,273 | 44.4% | 62.5% | |
| 36.36% | 33 | 6.5 | 807 | 11,454 | 26.7% | 44.4% | |
| 48.48% | 33 | 6.2 | 832 | 11,503 | 47.1% | 50.0% | |
| 54.55% | 33 | 1.2 | 676 | 12,553 | 53.9% | 55.0% | |
| 53.13% | 32 | 7.0 | 968 | 13,478 | 60.0% | 50.0% | |
| 48.39% | 31 | 1.2 | 797 | 12,315 | 50.0% | 46.7% | |
| 63.33% | 30 | 2.3 | 883 | 12,830 | 41.7% | 77.8% | |
| 48.28% | 29 | 6.3 | 744 | 11,911 | 30.8% | 62.5% | |
| 37.93% | 29 | 5.7 | 812 | 11,440 | 18.2% | 50.0% | |
| 51.72% | 29 | 3.8 | 712 | 13,239 | 58.3% | 47.1% | |
| 37.93% | 29 | 6.3 | 899 | 11,975 | 36.4% | 38.9% | |
| 50.00% | 28 | 1.3 | 715 | 14,263 | 41.7% | 56.3% | |
| 29.63% | 27 | 6.7 | 721 | 10,286 | 33.3% | 25.0% | |
| 50.00% | 26 | 0.9 | 644 | 11,818 | 45.5% | 53.3% | |
| 40.00% | 25 | 2.0 | 848 | 13,541 | 30.8% | 50.0% | |
| 54.17% | 24 | 5.3 | 907 | 11,627 | 66.7% | 41.7% | |
| 41.67% | 24 | 6.3 | 917 | 12,000 | 36.4% | 46.1% | |
| 45.83% | 24 | 5.5 | 752 | 11,531 | 54.5% | 38.5% | |
| 58.33% | 24 | 0.9 | 772 | 11,696 | 62.5% | 50.0% | |
| 50.00% | 24 | 6.3 | 873 | 12,129 | 50.0% | 50.0% | |
| 41.67% | 24 | 5.4 | 848 | 11,206 | 42.9% | 40.0% | |
| 39.13% | 23 | 1.5 | 720 | 11,974 | 38.5% | 40.0% | |
| 59.09% | 22 | 2.0 | 927 | 13,387 | 60.0% | 58.3% | |
| 40.91% | 22 | 5.8 | 849 | 10,938 | 45.5% | 36.4% | |
| 40.91% | 22 | 6.4 | 744 | 12,322 | 16.7% | 50.0% | |
| 40.91% | 22 | 0.9 | 600 | 11,042 | 35.7% | 50.0% | |
| 47.62% | 21 | 6.2 | 977 | 11,045 | 53.9% | 37.5% | |
| 60.00% | 20 | 5.7 | 841 | 13,143 | 80.0% | 53.3% | |
| 47.37% | 19 | 1.0 | 831 | 12,715 | 25.0% | 85.7% | |
| 26.32% | 19 | 1.2 | 717 | 11,895 | 18.2% | 37.5% | |
| 63.16% | 19 | 1.8 | 717 | 12,556 | 60.0% | 64.3% | |
| 52.63% | 19 | 6.2 | 860 | 11,058 | 41.7% | 71.4% | |
| 33.33% | 18 | 3.8 | 648 | 11,024 | 25.0% | 40.0% | |
| 50.00% | 18 | 1.0 | 690 | 12,203 | 50.0% | 50.0% | |
| 23.53% | 17 | 5.5 | 616 | 11,310 | 0.0% | 44.4% | |
| 37.50% | 16 | 1.0 | 594 | 12,795 | 42.9% | 33.3% | |
| 73.33% | 15 | 5.0 | 927 | 13,025 | 40.0% | 90.0% | |
| 46.67% | 15 | 4.1 | 820 | 12,585 | 66.7% | 33.3% | |
| 53.33% | 15 | 3.8 | 688 | 11,483 | 57.1% | 50.0% | |
| 35.71% | 14 | 5.6 | 643 | 12,276 | 33.3% | 36.4% | |
| 30.77% | 13 | 1.0 | 601 | 12,162 | 28.6% | 33.3% | |
| 38.46% | 13 | 1.7 | 750 | 12,386 | 37.5% | 40.0% | |
| 30.77% | 13 | 6.4 | 804 | 12,059 | 33.3% | 28.6% | |
| 41.67% | 12 | 3.4 | 889 | 11,662 | 50.0% | 37.5% | |
| 83.33% | 12 | 6.7 | 841 | 10,614 | 100.0% | 60.0% | |
| 58.33% | 12 | 2.1 | 737 | 13,505 | 57.1% | 60.0% | |
| 63.64% | 11 | 2.2 | 790 | 11,965 | 57.1% | 75.0% | |
| 54.55% | 11 | 5.2 | 817 | 11,108 | 33.3% | 80.0% | |
| 27.27% | 11 | 2.1 | 914 | 15,205 | 0.0% | 30.0% | |
| 45.45% | 11 | 5.7 | 845 | 11,366 | 33.3% | 60.0% | |
| 54.55% | 11 | 5.8 | 906 | 12,297 | 75.0% | 42.9% | |
| 70.00% | 10 | 6.0 | 874 | 13,285 | 33.3% | 85.7% | |
| 55.56% | 9 | 1.4 | 973 | 17,266 | 66.7% | 50.0% | |
| 33.33% | 9 | 6.8 | 740 | 11,325 | 33.3% | 33.3% | |
| 44.44% | 9 | 6.6 | 856 | 13,119 | 50.0% | 40.0% | |
| 55.56% | 9 | 2.0 | 752 | 12,566 | 75.0% | 40.0% | |
| 55.56% | 9 | 6.2 | 898 | 10,525 | 33.3% | 100.0% | |
| 50.00% | 8 | 5.7 | 846 | 10,990 | 100.0% | 20.0% | |
| 12.50% | 8 | 6.5 | 723 | 12,408 | 25.0% | 0.0% | |
| 37.50% | 8 | 6.7 | 899 | 10,871 | 25.0% | 50.0% | |
| 42.86% | 7 | 5.9 | 815 | 12,772 | 0.0% | 50.0% | |
| 57.14% | 7 | 6.6 | 925 | 12,844 | 33.3% | 75.0% | |
| 16.67% | 6 | 6.7 | 729 | 9,716 | 25.0% | 0.0% | |
| 50.00% | 6 | 3.5 | 724 | 14,069 | 66.7% | 33.3% | |
| 50.00% | 6 | 5.5 | 843 | 10,851 | 50.0% | 50.0% | |
| 33.33% | 6 | 6.3 | 776 | 11,893 | 50.0% | 25.0% | |
| 60.00% | 5 | 4.8 | 849 | 14,462 | 100.0% | 33.3% | |
| 40.00% | 5 | 6.1 | 724 | 11,489 | 33.3% | 50.0% | |
| 40.00% | 5 | 5.8 | 741 | 12,259 | 50.0% | 33.3% | |
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Ambessa vs Hwei - Frequently Asked Questions
How does Ambessa do against Hwei in League of Legends?
Hwei wins the Ambessa vs Hwei matchup with a 55.6% win rate compared to Ambessa's 44.4%, a 11.1 percentage point difference. This data is based on 9 recent ranked games in patch 26.10.
How does Ambessa do against Hwei in the early game?
In the early game, Ambessa has the advantage against Hwei with a 50.0% win rate versus 50.0%. Ambessa players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Ambessa do against Hwei in the late game?
In the late game, Hwei takes over the Ambessa vs Hwei matchup with a 60.0% win rate compared to 40.0%. Hwei scales better into team fights and objective contests after 25 minutes.
Who wins the Ambessa vs Hwei matchup?
Hwei wins the matchup against Ambessa with a 55.6% win rate in League of Legends patch 26.10. The 11.1 percentage point advantage means Hwei is significantly favored in this lane matchup based on 9 games analyzed.
What is the best Ambessa build against Hwei?
The best Ambessa build against Hwei includes Voltaic Cyclosword, Profane Hydra, Axiom Arc with Chainlaced Crushers. Check the matchup breakdown above for the full item path and build order.
What are the best Ambessa runes against Hwei?
The best Ambessa runes against Hwei use the Domination primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Ambessa vs Hwei matchup. See the full rune breakdown in the matchup comparison above.
Does Ambessa counter Hwei?
No, Ambessa struggles against Hwei with only a 44.4% win rate. Hwei has the advantage in this matchup. Ambessa players should focus on safe farming and avoiding extended trades to minimize Hwei's lead.
How do I play Ambessa against Hwei?
When playing Ambessa against Hwei, play cautiously and avoid Hwei's power spikes. Look for jungle assistance and team-dependent plays since Hwei has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.